Skip to content
conftrace_

Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
1
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Dissecting Supervised Contrastive Learning ICML 2021 Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation EMNLP 2021 Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training EMNLP 2021 Distantly Supervised Relation Extraction in Federated Settings EMNLP 2021 Distantly Supervised Relation Extraction using Multi-Layer Revision Network and Confidence-based Multi-Instance Learning EMNLP 2021 Distantly Supervised Transformers For E-Commerce Product QA NAACL 2021 Distilling Audio-Visual Knowledge by Compositional Contrastive Learning CVPR 2021 Distilling Causal Effect of Data in Class-Incremental Learning CVPR 2021 Distilling Holistic Knowledge With Graph Neural Networks ICCV 2021 Distilling Knowledge for Empathy Detection EMNLP 2021 Distilling Localization for Self-Supervised Representation Learning AAAI 2021 Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck NeurIPS 2021 Distilling Virtual Examples for Long-Tailed Recognition ICCV 2021 Distilling Word Meaning in Context from Pre-trained Language Models EMNLP 2021 Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy CVPR 2021 Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent ICLR 2021 Distribution Alignment: A Unified Framework for Long-Tail Visual Recognition CVPR 2021 Distributionally Robust Imitation Learning NeurIPS 2021 Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning AISTATS 2021 Distributional Reinforcement Learning via Moment Matching AAAI 2021 DisUnknown: Distilling Unknown Factors for Disentanglement Learning ICCV 2021 DivAug: Plug-In Automated Data Augmentation With Explicit Diversity Maximization ICCV 2021 DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network CVPR 2021 Dive Into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition CVPR 2021 Divergence Optimization for Noisy Universal Domain Adaptation CVPR 2021